Bibliographic Details
| Title: |
The Tail at Scale. (cover story) |
| Authors: |
DEAN, JEFFREY1 (AUTHOR) jeff@google.com, BARROSO, LUIZ ANDRÉ2 (AUTHOR) luiz@google.com |
| Source: |
Communications of the ACM. Feb2013, Vol. 56 Issue 2, p74-80. 7p. 1 Color Photograph, 2 Charts, 1 Graph. |
| Subjects: |
Web services, Distributed computing software, Fault-tolerant computing, Search engine optimization, Google (Web resource), Computer performance, Computer software |
| Abstract: |
The article discusses high-latency episodes in large online services and tail-tolerant software techniques that form a predictable whole out of less-predictable parts to reduce the episodes' effect on whole-system performance. The article notes variability in latency distribution or response time to user actions can be reduced by parallelization of sub-operations across different machines. Topics include system utilization that avoids overprovisioning, performance variability, and the Google search engine. |
| Database: |
Engineering Source |
